Photo marketplace moves face search off AWS Rekognition in two days

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sellphotos.online, a marketplace where event and sports photographers sell shots that guests appear in, was spending about $3,500 a month on AWS Rekognition for its selfie-based face search. The platform also struggled to find smaller faces in crowd photos, leaving some guests unable to locate themselves. It shifted the face search workload to SightRadar in roughly two days, following a playbook that centers on tuning the match threshold against difficult sample photos. The migration relied on a Python shim that keeps boto3's method names, though private storage buckets need fetchable URLs. For indexing hundreds of thousands of existing photos, the team used a batch endpoint that accepts up to 1,000 URLs per call and sends a webhook per photo.

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